\begin{tabular}{lcccc} \hline
 & (1) & (2) & (3) & (4) \\
VARIABLES & Revenue raised (Germany) & Revenue raised (Germany) & Revenue raised (Austria) & Ravenue raised (Austria) \\ \hline
 &  &  &  &  \\
Treatment condition = 1, Earn more & -1.635 & -2.087 & 5.022 & 2.240 \\
 & (4.666) & (4.594) & (5.697) & (5.275) \\
Treatment condition = 2, Earn less & 1.679 & 1.720 & 5.931 & 3.015 \\
 & (5.778) & (5.721) & (5.525) & (5.550) \\
Treatment condition = 3, Ineq. 99/50 & -5.811 & -5.559 & 2.057 & 1.640 \\
 & (4.702) & (4.579) & (4.917) & (4.790) \\
Treatment condition = 4, Ineq. 99/10 & -4.334 & -4.169 & 4.727 & 4.662 \\
 & (4.791) & (4.596) & (4.958) & (4.764) \\
Female &  & -0.308 &  & -1.660 \\
 &  & (3.174) &  & (3.305) \\
Age &  & -0.275** &  & -0.352** \\
 &  & (0.127) &  & (0.148) \\
Education &  & -9.656*** &  & -7.641** \\
 &  & (3.092) &  & (3.020) \\
Married &  & 3.935 &  & -8.107** \\
 &  & (3.194) &  & (3.686) \\
Has children &  & -0.294 &  & 5.206 \\
 &  & (3.024) &  & (4.012) \\
Not employed &  & -0.792 &  & 9.047** \\
 &  & (3.842) &  & (3.643) \\
Monthly income &  & -0.189 &  & 0.202 \\
 &  & (0.386) &  & (0.683) \\
5 quantiles of timeSpent = 2 &  & -28.051*** &  & -24.907*** \\
 &  & (6.049) &  & (6.547) \\
5 quantiles of timeSpent = 3 &  & -36.823*** &  & -28.895*** \\
 &  & (5.024) &  & (6.193) \\
5 quantiles of timeSpent = 4 &  & -36.272*** &  & -33.629*** \\
 &  & (5.059) &  & (6.256) \\
5 quantiles of timeSpent = 5 &  & -33.352*** &  & -41.171*** \\
 &  & (5.719) &  & (6.122) \\
 &  &  &  &  \\
Observations & 2,100 & 2,100 & 2,100 & 2,100 \\
 R-squared & 0.002 & 0.079 & 0.001 & 0.072 \\ \hline
\multicolumn{5}{c}{ Robust standard errors in parentheses} \\
\multicolumn{5}{c}{ *** p$<$0.01, ** p$<$0.05, * p$<$0.1} \\
\end{tabular}
